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Senior AI Specialist Solutions Architect (AWS)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
SK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Specialist Solutions Architect (AWS): Designing and implementing scalable, secure, and resilient AI architectures for enterprise customers with an accent on GenAI, LLMs, and Agentic workflows. Focus on driving production-grade AI adoption, optimizing cloud-native AI patterns, and providing technical leadership to accelerate customer success on the AWS platform.

Location: Seoul, South Korea

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, powering businesses from startups to Global 500 companies.

What you will do

  • Build technical relationships with customers as a trusted advisor for GenAI/ML and Agentic technology adoption.
  • Design scalable, flexible, and resilient cloud-native AI architectures for complex enterprise use cases.
  • Advocate for customer needs internally to influence the AWS GenAI/ML product roadmap.
  • Create and share technical content, including whitepapers, blog posts, and workshops to evangelize AWS AI solutions.
  • Lead hands-on technical deep dives and provide mentorship to the broader engineering organization.
  • Ensure recommendations align with security, cost, performance, and operational efficiency standards.

Requirements

  • 7+ years of experience in design, implementation, or consulting for distributed applications.
  • 5+ years of experience managing technical, enterprise customer-facing resources.
  • 5+ years of experience in the design and implementation of production AI systems.
  • Proven expertise in LLM integration, fine-tuning, RAG, vector databases, and MLOps.
  • Hands-on experience with AWS ecosystems including Bedrock and SageMaker.
  • Ability to influence decision-makers as a technical thought leader across diverse audiences.

Nice to have

  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or Machine Learning.
  • Experience architecting AI systems in highly regulated environments like Financial Services or Healthcare.
  • Proven ability to run and fine-tune models using advanced techniques like LoRA, QLoRA, and RLHF.
  • Cloud Technology Certification.

Culture & Benefits

  • Commitment to an inclusive team culture with employee-led affinity groups.
  • Strong focus on work-life harmony and flexibility.
  • Extensive opportunities for mentorship, knowledge-sharing, and career growth.
  • Access to a comprehensive suite of cloud products and innovative technology environments.

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